{"id":1438,"date":"2019-08-20T00:57:11","date_gmt":"2019-08-20T00:57:11","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=1438"},"modified":"2019-08-20T00:57:18","modified_gmt":"2019-08-20T00:57:18","slug":"best-links-of-the-week-32","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/08\/20\/best-links-of-the-week-32\/","title":{"rendered":"Best links of the week #32"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 12th August to 18th August<\/h3>\n\n\n\n
\"\"
Due to vacations and an accident at the end of the trip, I was unable to bring to you a set of links as diverse and rich in quality as I’m used to. Comics will also be replaced by this picture of my fianc\u00e9e and me in front of the Ch\u00e2teau de Chambord<\/a> :-). The number of opportunities remains the same, though! I will make sure to bring a better release of this series next week \ud83d\ude42<\/figcaption><\/figure><\/div>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Observat\u00f3rio dos Novos Agrot\u00f3xicos<\/a>\u00a0by Fernando Barbalho<\/a>.<\/li>
  2. Petrobras ca\u00e7a talentos para cargo de cientista de dados<\/a> at Estad\u00e3o<\/a>.<\/li>
  3. O Zen do R<\/a>.<\/li>
  4. Several public databases, both brazilian and international sources<\/a> at Abraji<\/a>.<\/li>
  5. What3words: como um aplicativo usa tr\u00eas palavras para salvar vidas<\/a> at BBC<\/a>.<\/li>
  6. R-Style-Guide — Towards a Goal of RED Code<\/a> at Norm Matloff<\/a>‘s GitHub.<\/li>
  7. What\u2019s next for the popular programming language R?<\/a> at QUARTZ<\/a>.<\/li>
  8. Agile Data Science with R<\/a>.<\/li>
  9. R package to show dependencies like pip show<\/a>.<\/li>
  10. Easily generate information-rich, publication-quality tables from R\u00a0(RStudio gt)<\/a> at RStudio’s GitHub<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. Estudar no Exterior: o caminho das pedras com D\u00e9bora Cabral<\/a> at Portal Deviante<\/a>.<\/li>
    2. Local randomness in R<\/a> by QuestionFlow<\/a> at R-Bloggers<\/a>.<\/li>
    3. Machine learning fundamentals (I): Cost functions and gradient descent<\/a> by Conor McDonald<\/a> at Towards Data Science<\/a>.<\/li><\/ol>\n\n\n\n

      Positions available<\/h4>\n\n\n\n
      1. DataEngineer<\/a> at HumanAZ – Conectando Prop\u00f3sitos.<\/li>
      2. Desenvolvedor Backend Java (Big Data)<\/a> at Improving.<\/li>
      3. Pleno Data Analyst BI<\/a> at petlove.<\/li>
      4. DevOps S\u00eanior<\/a> at Juno.<\/li>
      5. Data Engineer S\u00eanior<\/a> at Juno.<\/li>
      6. Arquiteto de solu\u00e7\u00f5es<\/a> at TGV.<\/li>
      7. Cientista de Dados de Pol\u00edticas P\u00fablicas<\/a> at Grupo Tellus.<\/li>
      8. Cientista de Dados<\/a> at Grupo XP.<\/li>
      9. Cientista de Dados<\/a> at BTG Pactual.<\/li>
      10. Data Analyst<\/a> at Quero Educa\u00e7\u00e3o.<\/li>
      11. Machine Learning Engineer<\/a> at ROIT.<\/li>
      12. Marketing Data Science & BI<\/a>.<\/li>
      13. Data Engineer – Data Engineering<\/a> at Goldman Sachs.<\/li>
      14. Analista BI Pleno (programadorC#)<\/a> at RecrutaSimples.<\/li>
      15. Ph.D. opportunity on behavioral data science and recommender systems at the University of Bergen<\/a>.<\/li>
      16. Analista BI S\u00eanior<\/a> at Intelity Consultoria Ltda.<\/li>
      17. Data Science Analyst<\/a> at Nielsen.<\/li>
      18. Data Engineer Sr.<\/a> at CargoX.<\/li>
      19. Engenheiro de Dados Jr.\/Pl.<\/a> at Data Sprints.<\/li>
      20. Postdoctoral Researcher in machine learning<\/a> at Universit\u00e9 Laval.<\/li>
      21. Lecturer (Assistant Professor) in Artificial Intelligence<\/a> at the University of Bath.<\/li>
      22. Lecturer\/Senior Lecturer in Artificial Intelligence (Teaching and Research)<\/a> at the University of London.<\/li>
      23. Tenure Track Associate Professor in Machine Learning<\/a> at the University of Bergen.<\/li>
      24. Lecturer or Senior Lecturer in Interactive Artificial Intelligence<\/a> at the University of Bristol.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

        Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>Public datasets, a shiny app on pesticides, an interview with Wickham, an R guide by Norm Matloff and LOTS of opportunities \ud83d\ude42<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false},"version":2}},"categories":[8],"tags":[],"class_list":["post-1438","post","type-post","status-publish","format-standard","hentry","category-bestlinks"],"jetpack_publicize_connections":[],"yoast_head":"\nBest links of the week #32 - 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